加载中…
2025-08-05
Description of CRESST-II and CRESST-III pulse shape data
G. AngloherS. BanikD. BartolotG. BenatoA. BentoA. BertoliniR. BreierC. BucciJ. BurkhartL. CanonicaA. D'AddabboS. Di LorenzoL. EinfaltA. ErbF. v. FeilitzschN. Ferreiro IachelliniS. FichtingerD. FuchsA. FussA. GaraiV. M. GheteP. GorlaP. V. GuillaumonS. GuptaD. HauffM. JeškovskýJ. JochumM. KaznacheevaA. KinastH. KluckS. KuckukH. KrausM. LacknerA. LangenkämperM. MancusoL. MariniL. MeyerV. MokinaP. MuraliA. NilimaM. OlmiT. OrtmannC. PagliaroneL. PattavinaF. PetriccaW. PotzelP. PovinecF. PröbstF. PucciF. ReindlD. RizvanovicJ. RotheK. SchäffnerJ. SchieckD. SchmiedmayerS. SchönertC. SchwertnerM. StahlbergL. StodolskyC. StrandhagenR. StraussI. UsherovF. WagnerM. WillersV. Zema
文献摘要
A set of data from 68 cryogenic detectors operated in the CRESST dark matter search experiment between 2013 and 2019 was collected and labeled to train binary classifiers for data cleaning. Here, we describe the data set and how the trained models can be applied to new data. The data and models are available online.
讨论
0讲解博客
生成讲解博客的中文版本
AI智能校验
生成AI智能校验的中文版本